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Title: Data Assimilation for Inner-Magnetospheric Plasma Systems

Abstract

Data assimilation are methods that combine information from a model, observational data, and corresponding error statistics, to provide an estimate of the true state of a system as accurately as possible. These methodologies are used in a wide range of problems, such as: Weather prediction, Radiation belt simulation, Solar Physics, and Orbital Dynamics simulation. Data Assimilation for Radiation Belt Models: (1) Wide range of assimilation methodologies, most are easy to implement and effective; (2) Data assimilation is an active area of research (both in theory and applications); (3) Huge benefit to space physics, community starting to accept and utilize; (4) Assimilation in space physics used for gap filling, forecast, nowcast and/or reanalysis, reduction and specification of uncertainties; and (5) Data assimilation offers paradigm shift from previous working relation between modelers and experimentalist, work more closely together.

Authors:
 [1]
  1. Los Alamos National Laboratory
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
UCOP project
OSTI Identifier:
1044089
Report Number(s):
LA-UR-12-22251
TRN: US201214%%474
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Conference
Resource Relation:
Conference: GEM 2012 Summer Workshop ; 2012-06-17 - 2012-06-22 ; Snowmass, Colorado, United States
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 97 MATHEMATICAL METHODS AND COMPUTING; FORECASTING; PHYSICS; PLASMA; RADIATION BELTS; SIMULATION; SPECIFICATIONS; STATISTICS; WEATHER

Citation Formats

Godinez Vazquez, Humberto C. Data Assimilation for Inner-Magnetospheric Plasma Systems. United States: N. p., 2012. Web.
Godinez Vazquez, Humberto C. Data Assimilation for Inner-Magnetospheric Plasma Systems. United States.
Godinez Vazquez, Humberto C. Mon . "Data Assimilation for Inner-Magnetospheric Plasma Systems". United States. https://www.osti.gov/servlets/purl/1044089.
@article{osti_1044089,
title = {Data Assimilation for Inner-Magnetospheric Plasma Systems},
author = {Godinez Vazquez, Humberto C.},
abstractNote = {Data assimilation are methods that combine information from a model, observational data, and corresponding error statistics, to provide an estimate of the true state of a system as accurately as possible. These methodologies are used in a wide range of problems, such as: Weather prediction, Radiation belt simulation, Solar Physics, and Orbital Dynamics simulation. Data Assimilation for Radiation Belt Models: (1) Wide range of assimilation methodologies, most are easy to implement and effective; (2) Data assimilation is an active area of research (both in theory and applications); (3) Huge benefit to space physics, community starting to accept and utilize; (4) Assimilation in space physics used for gap filling, forecast, nowcast and/or reanalysis, reduction and specification of uncertainties; and (5) Data assimilation offers paradigm shift from previous working relation between modelers and experimentalist, work more closely together.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {6}
}

Conference:
Other availability
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